Predictive Modeling Actuarial Analyst
Presidential Innovation Fellows
Job Summary:
We are seeking a Predictive Modeling Actuarial Analyst to join our Product Team at a high-growth personal homeowners insurance company. As a Predictive Modeling Actuarial Analyst at Bamboo Insurance, you will play a key role in building, testing, and deploying various predictive models for all aspects of insurance. You will work collaboratively with cross-functional teams to ensure that the models are sound and actionable. This is an exciting opportunity for an actuarial/modeling professional looking to make a significant impact in the property and casualty insurance industry.
Duties/Responsibilities:
- Develop, review, and refine models (e.g. for frequency prediction, underwriting acceptance, and customer lifetime value) for homeowners insurance products in California and Texas.
- Maintain models to ensure high accuracy, stability, and performance.
- Work closely with other functional areas such as actuarial pricing, underwriting, claims, sales, operations to identify areas where predictive analytics can solve business problems or create greater efficiencies.
- Augment traditional actuarial analysis with innovative tools and techniques where appropriate.
- Present findings and recommendations to senior leadership and stakeholders.
Required Skills/Abilities:
- Excellent analytical, critical thinking and problem-solving skills with the ability to effectively resolve complex situations and issues. Deals well with ambiguity.
- Excellent communication skills to convey complex concepts to non-technical stakeholders.
- Ability to lead projects independently, manage multiple priorities, and deliver high-quality work under tight deadlines.
Required Education and Experience:
- Bachelor's degree in data science, mathematics, actuarial science, statistics, or related quantitative field.
- A minimum of two years of experience in an actuarial role, with a focus on predictive modeling or data science
- Strong proficiency in programming languages such as R or Python
Preferred Requirements:
- Familiarity with data visualization tools like Tableau or Power BI.
- Prior experience working with personal homeowners insurance products.
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
Salary: Starting at $90,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer.